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A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem

Li, Gang; Jiang, Hongxun; He, Tian - In: Omega 50 (2015) C, pp. 1-17

evolutionary variables, which evolve with the genetic operators, and the optimization variables, which are derived by solving … corresponding optimization problems. (2) The new algorithm introduces the concept of Capacity Threshold and calculates the Set of …

Persistent link: https://www.econbiz.de/10010939748

Construction of a Concept of Neuronal Modeling

Grum, Marcus - 2022

The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating...

Persistent link: https://www.econbiz.de/10012879106

Application of optimization techniques in the dairy supply chain : a systematic review

Malik, Mohit; Gahlawat, Vijay Kumar; Mor, Rahul S.; … - In: Logistics 6 (2022) 4, pp. 1-16

modernization. As a result, the dairy industry needs to improve its operational efficiencies by implementing effective optimization … techniques. Conventional and emerging optimization techniques have already gained momentum in the dairy industry. This study …'s objective was to explore the optimization techniques developed for or implemented in the dairy supply chain (DSC) and to …

Persistent link: https://www.econbiz.de/10013552530

Introduction: 2022 Daniel H. Wagner prize for excellence in the practice of advanced analytics and operations research

Bjarnadóttir, Margrét Vilborg; Stone, Lawrence D. - In: INFORMS journal on applied analytics 53 (2023) 5, pp. 333-335

Persistent link: https://www.econbiz.de/10014383146

Human-centric parcel delivery at deutsche post with operations research and machine learning

Arıkan, Uğur; Kranz, Thorsten; Sal, Baris Cem; … - In: INFORMS journal on applied analytics 53 (2023) 5, pp. 359-371

Persistent link: https://www.econbiz.de/10014383168

Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model

Mengüç, Kenan; Aydin, Nezir; Ulu, Mesut - In: International journal of production research 63 (2025) 2, pp. 404-417

Persistent link: https://www.econbiz.de/10015197320

Linear algebra for data science, machine learning, and signal processing

Fessler, Jeffrey A.; Nadakuditi, Raj Rao - 2024

nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix …

Persistent link: https://www.econbiz.de/10015160667

Learning to approximate industrial problems by operations research classic problems

Parmentier, Axel - In: Operations research 70 (2022) 1, pp. 606-623

Persistent link: https://www.econbiz.de/10012820675

Effective active learning strategies for the use of large-margin classifiers in semantic annotation : an optimal parameter discovery perspective

Xu, Kaiquan; Liao, Stephen Shaoyi; Lau, Raymond Yiu Keung; … - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 461-483

Persistent link: https://www.econbiz.de/10010399813

An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm

Miguez, Geraldo; Xavier, Adilson Elias; Maculan F., Nelson - In: International transactions in operational research : … 21 (2014) 5, pp. 835-854

Persistent link: https://www.econbiz.de/10010413600